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News/GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion
arxiv
PublishedApril 24, 2026 at 4:00 AM
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GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion

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arXiv:2604.21649v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown immense potential in Knowledge Graph Completion (KGC), yet bridging the modality gap between continuous graph embeddings and discrete LLM tokens remains a critical challenge. While recent quantization-based appro

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Read original ↗All from arxiv →
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#knowledge-graph#natural-language-processing#quantization#artificial-intelligence

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